Table 4 Probability of hospitalization of household members with kidney health issues under the NHI scheme
Independent variable (based on Andersen’s behavioural model) | Binary logistic regression model 1: probability of hospitalization | |
|---|---|---|
NHI 2021 | ||
Nagelkerke R2 = 0.411 | ||
OR | P value | |
Predisposing factors | ||
Gender of respondent | ||
Male | ||
Female | 0.992 | 0.976 |
Age of respondent (years) | ||
18–35 | ||
36–69 | 0.518 | 0.125 |
50 or above | 9.763 | 0.001* |
Marital status | ||
Single | ||
Married | 1.104 | 0.737 |
Level of education | ||
Never attended school to primary school | ||
Lower secondary to secondary school | 1.330 | 0.531 |
College/university degree | 0.803 | 0.656 |
Size of household | ||
1–4 people (small) | ||
5 people or more (large) | 0.766 | 0.371 |
Enabling factors | ||
Level of income | ||
Less than 1 million LAK (US$ 100) | ||
1–2.5 million LAK (US$ 100–250) | 0.793 | 0.584 |
2.5–5 million LAK (US$ 250–500) | 0.924 | 0.831 |
More than 5 million LAK (US$ 500) | 1.024 | 0.958 |
City of residence | ||
Capital (Kaysone Phomvihane District) | ||
Other districts | 0.833 | 0.519 |
Need factors | ||
Chronic condition | ||
No | ||
Yes | 1.716 | 0.163 |